class_docstr: Named entity recognition with huggingface backbones. Inherit from HFAutoModelForTextPrediction.
class_docstr_tok: ["Named","entity","recognition","with","huggingface","backbones",".","Inherit","from","HFAutoModelForTextPrediction","."]
code: def text_token_word_mapping_key(self):
      return f"{self.prefix}_{TOKEN_WORD_MAPPING}"
  
file_path: autogluon/multimodal/src/autogluon/multimodal/models/ner_text.py
imports: import logging
  from typing import Dict, List, Optional, Tuple
  import torch
  import torch.nn.functional
  from torch import nn
  from transformers import logging
  from ..constants import AUTOMM, COLUMN, COLUMN_FEATURES, FEATURES, LABEL, LOGITS, MASKS, NER_ANNOTATION, TEXT_SEGMENT_IDS, TEXT_TOKEN_IDS, TEXT_VALID_LENGTH, TOKEN_WORD_MAPPING, WORD_OFFSETS
  from .huggingface_text import HFAutoModelForTextPrediction
  from .utils import assign_layer_ids, get_column_features, get_pretrained_tokenizer
label_desc: Use image node_id 3 for calling the HFAutoModelForNER obj's underlying member method code with example usage: obj.text_token_word_mapping_key() and returns: self, str, TOKEN_WORD_MAPPING